Conversion of Cancer Features to Number Using Topology

DOI
  • Arimura Hidetaka
    Department of Health Sciences, Faculty of Medical Sciences, Kyushu University Joint Graduate School of Mathematics for Innovation, Kyushu University
  • Kodama Takumi
    Department of Health Science, Graduate School of Medical Science, Kyushu University
  • Ninomiya Kenta
    Sanford Burnham Prebys Medical Discovery Institute
  • Tokuda Tomoki
    Joint Graduate School of Mathematics for Innovation, Kyushu University

Bibliographic Information

Other Title
  • トポロジーでがんの特徴を数に変える
  • －Hole Analysis－
  • －穴解析－
Published
2023
DOI
  • 10.11318/mii.40.79
Publisher
MEDICAL IMAGING AND INFORMATION SCIENCES

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Description

<p>We attempt to classify cancer tumors into several feature groups by counting holes based on topology. In our opinion, image features of cancer tumors depend on several factors such as tumor cells, necrosis, and angiogenesis. When analyzing tumors topologically, we assume that the image features of cancer can be decomposed into three structural components (three-dimensional space): connected components, holes, and cavities. In this paper, we would like to describe a topology-based “hole analysis” including why cancer features are converted into numbers with topology, the theory of the hole analysis, why cancer features are related to topology, and several applications of the hole analysis.</p>

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Keywords

Details 詳細情報について

  • CRID
    1390017113110422528
  • DOI
    10.11318/mii.40.79
  • ISSN
    18804977
    09101543
  • Text Lang
    ja
  • Data Source
    • JaLC
  • Abstract License Flag
    Disallowed

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